1. Learn
    2. /
  2. Courses
    3. /
  3. Predictive Analytics using Networked Data in R

Exercise

Centrality features

In this exercise, you will compute and extract the centrality features betweenness, closeness, and eigenvector centrality.

Instructions 1/3

undefined XP
  • 1

    Extract the normalized betweenness of the nodes using betweenness(). Add it as a node attribute called betweenness.

  • 2

    Extract the normalized closeness using closeness() and add it to network as a node attribute called closeness.

  • 3

    Extract the scaled eigenvector centrality using eigen_centrality() and add its vector attribute as eigenCentrality.